One of the main food crops in the world,rice can accumulate high levels of arsenic from flooded paddy soils,which seriously threatens human health.Soaking,a common processing method for brown rice products,especially ...One of the main food crops in the world,rice can accumulate high levels of arsenic from flooded paddy soils,which seriously threatens human health.Soaking,a common processing method for brown rice products,especially for brown rice noodles,was investigated in this study.Japonica rice(Dao Hua Xiang No.2)and Indica rice(Ye Xiang You No.3)were selected for studying the effects of soaking on arsenic concentrations,species,and distributions.Results revealed that soaking can efficiently remove arsenic in these two rice varieties,and the main part of removal is endosperm with the maximal rate of about 40%.Inorganic arsenic(I-As)(about 85%)is the main species of arsenic reduction.Meanwhile,the variations of four other elements(i.e.,Mg,Ca,Zn,and Fe)were analyzed.Collectively,the findings of this study indicate that soaking can efficiently remove arsenic in brown rice under controlled soaking conditions,which thereby reduces the arsenic intake for brown rice customers.展开更多
Qinba Mountain Area is rich in plant resources. It is of great significance to study how to combine arbors,shrubs,and herbs in different regions and different climatic regions,reflect the beauty of color,form,and char...Qinba Mountain Area is rich in plant resources. It is of great significance to study how to combine arbors,shrubs,and herbs in different regions and different climatic regions,reflect the beauty of color,form,and charm. Besides,under different climatic and geomorphological conditions,adopting different land preparation methods and different cultivation techniques is helpful for increasing the survival rate and preservation rate,so as to provide certain technical basis for revitalizing development of rural areas and building the ecological barriers.展开更多
Currently, most of the policies for the dynamic demand vehicle routing problem are based on the traditional method for static problems as there is no general method for constructing a real-time optimization policy for...Currently, most of the policies for the dynamic demand vehicle routing problem are based on the traditional method for static problems as there is no general method for constructing a real-time optimization policy for the case of dynamic demand. Here, a new approach based on a combination of the rules from the static sub-problem to building real-time optimization policy is proposed. Real-time optimization policy is dividing the dynamic problem into a series of static sub-problems along the time axis and then solving the static ones. The static sub-problems’ transformation and solution rules include: Division rule, batch rule, objective rule, action rule and algorithm rule, and so on. Different combinations of these rules may constitute a variety of real-time optimization policy. According to this general method, two new policies called flexible G/G/m and flexible D/G/m were developed. The competitive analysis and the simulation results of these two policies proved that both are improvements upon the best existing policy.展开更多
基金the Special National Key Research and Development Plan[grant number 2016YFD0400204]the Ministry of Science and Technology of the People’s Republic of China[grant number2015FY111300]the Technology Innovation Program of the Chinese Academy of Agricultural Sciences[grant number CAAS-ASTIP-201X-IAPPST].
文摘One of the main food crops in the world,rice can accumulate high levels of arsenic from flooded paddy soils,which seriously threatens human health.Soaking,a common processing method for brown rice products,especially for brown rice noodles,was investigated in this study.Japonica rice(Dao Hua Xiang No.2)and Indica rice(Ye Xiang You No.3)were selected for studying the effects of soaking on arsenic concentrations,species,and distributions.Results revealed that soaking can efficiently remove arsenic in these two rice varieties,and the main part of removal is endosperm with the maximal rate of about 40%.Inorganic arsenic(I-As)(about 85%)is the main species of arsenic reduction.Meanwhile,the variations of four other elements(i.e.,Mg,Ca,Zn,and Fe)were analyzed.Collectively,the findings of this study indicate that soaking can efficiently remove arsenic in brown rice under controlled soaking conditions,which thereby reduces the arsenic intake for brown rice customers.
文摘Qinba Mountain Area is rich in plant resources. It is of great significance to study how to combine arbors,shrubs,and herbs in different regions and different climatic regions,reflect the beauty of color,form,and charm. Besides,under different climatic and geomorphological conditions,adopting different land preparation methods and different cultivation techniques is helpful for increasing the survival rate and preservation rate,so as to provide certain technical basis for revitalizing development of rural areas and building the ecological barriers.
基金Supported by the National Natural Science Foundation of China(71461006,71461007,71761009)Hainan Province Planning Program of Philosophy and Social Science(HNSK(YB)19-06,HNSK(YB)19-11)a Key Program of Hainan Educational Committee(hnky2019ZD-10).
文摘Currently, most of the policies for the dynamic demand vehicle routing problem are based on the traditional method for static problems as there is no general method for constructing a real-time optimization policy for the case of dynamic demand. Here, a new approach based on a combination of the rules from the static sub-problem to building real-time optimization policy is proposed. Real-time optimization policy is dividing the dynamic problem into a series of static sub-problems along the time axis and then solving the static ones. The static sub-problems’ transformation and solution rules include: Division rule, batch rule, objective rule, action rule and algorithm rule, and so on. Different combinations of these rules may constitute a variety of real-time optimization policy. According to this general method, two new policies called flexible G/G/m and flexible D/G/m were developed. The competitive analysis and the simulation results of these two policies proved that both are improvements upon the best existing policy.
